TrustEngine
Bringing Trust Back to Lending
Director of Applied Data Science – AI
Location
United States
Posted
15 days ago
Salary
$124.6K - $200.8K / year
Bachelor DegreeEnglishApachePandasPythonPy TorchScikit LearnSparkSQLTensorflow
Job Description
• Drive Applied Business Value: Partner directly with executive leadership to understand strategic goals and proactively identify areas where machine learning and predictive analytics can solve core business problems today.
• Pragmatic Modeling & Analysis: Execute the hands-on development of predictive models using a variety of techniques.
• Pioneer Applied LLM Initiatives: Drive our Generative AI capabilities by designing and implementing LLM-based solutions.
• Bridge Prototyping and Production: Rapidly prototype new models and concepts and seamlessly transition your work to build scalable, robust ML components within production environments like Spark.
• Cross-Functional Collaboration: Work shoulder-to-shoulder with our Data Engineering and Product teams to architect, deploy, and monitor machine learning models in production data pipelines.
Job Requirements
- The "Applied" Mindset: You care more about shipping a reliable model that delivers immediate business value than spending months perfecting a theoretical algorithm in a vacuum.
- Strategic Autonomy: Proven ability to take vague business challenges, ask the right questions, and architect comprehensive data science solutions from scratch as a self-directed contributor.
- Deep Technical Expertise: Exceptional proficiency in Python, SQL, and core data science libraries (Pandas, Scikit-Learn, PyTorch/TensorFlow).
- Production Experience: Strong familiarity with big data processing frameworks (like Apache Spark) and the intricacies of actually deploying ML models into real-world, high-volume production pipelines.
- Applied LLM Experience: Demonstrated hands-on experience working with Large Language Models.
- Mission-Driven: A genuine passion for using data for good—specifically, to help individuals navigate the complex world of personal finance and homeownership.
Benefits
- Fully remote
- 100% individual company paid medical plan option
- company 3% paid 401(k) contribution
- paid parental leave
- flexible (take what you need) time off
- ongoing professional development and certification opportunities
- competitive salary
- special employee discounts and health wellness perks
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